Multifunctional grid tied pv system using modified klms control
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The document discusses a modified kernel least mean square (KLMS) control strategy for double-stage solar photovoltaic (PV) grid-tied systems aimed at enhancing power quality. This approach demonstrated fast convergence, reduced oscillations, and satisfaction of the IEEE-519 standard for total harmonic distortion in grid currents. Simulation results in MATLAB/Simulink and experimental testing indicate effective harmonics compensation, current balancing, and sometimes superior performance compared to traditional LMS and LMF controls.
![ELECTRICAL PROJECTS USING MATLAB/SIMULINK
Gmail: asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in
0-9347143789/9949240245
For Simulation Results of the project Contact Us
Gmail: asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in
0-9347143789/9949240245
experimental prototype. The MPPT has extricated the peak power point successfully (nearly
100%) from the solar PV array under varying insolation levels. The proposed control effectively
provides harmonics compensation, grid currents balancing and unity power factor in the grid tied
system. This proposed modified KLMS control scheme has extracted the fundamental current
component efficiently. Under the load unbalancing condition, the fundamental current
component has shown faster convergence and less oscillations than LMS and LMF controls.
Moreover, it has good steady state and dynamic performances than LMS and LMF controls.
Moreover, the THD of grid currents, is meeting the IEEE-519 standard[12].
REFERENCES:
[1] International Energy Agency, “Medium term renewable energy market report 2016,”
[Online].Available http://www.iea.org
[2] P. Shukl and B. Singh, “Delta-Bar-Delta Neural Network (NN) Based Control Approach for
Power Quality Improvement of Solar PV Interfaced Distribution System,” IEEE Trans. on Ind.
Info.., early access 2019.
[3] S. M. Fatemi, M. S. Shadlu and A. Talebkhah, “Comparison of Three-Point P&O and Hill
Climbing Methods for Maximum Power Point Tracking in PV Systems,” 10th Int. Power Elec.,
Drive Sys.and Tech. Conf.(PEDSTC), Shiraz, Iran, 2019, pp. 764-768.
[4] E. H. M. Ndiaye, A. Ndiaye, M. A. Tankari and G. Lefebvre, “Adaptive Neuro-Fuzzy
Inference System Application for The Identification of a Photovoltaic System and The
Forecasting of Its Maximum Power Point,” 7th Int. Conf. on Renew. Ene. Rese.and
App.(ICRERA), Paris, 2018, pp. 1061-1067.
[5] N. Arab, B. Kedjar, A. Javadi and K. Al-Haddad, “A Multifunctional Single-Phase Grid-
Integrated Residential Solar PV Systems Based on LQR Control,” IEEE Trans. on Ind. Appl.,
vol. 55, no. 2, pp. 2099-2109, March-April 2019.](https://image.slidesharecdn.com/multifunctionalgrid-tiedpvsystemusingmodifiedklmscontrol-210713110619/85/Multifunctional-grid-tied-pv-system-using-modified-klms-control-2-320.jpg)
Multifunctional grid tied pv system using modified klms control
- 1. ELECTRICAL PROJECTS USING MATLAB/SIMULINK Gmail: asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in 0-9347143789/9949240245 For Simulation Results of the project Contact Us Gmail: asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in 0-9347143789/9949240245 Multifunctional Grid-Tied PV System Using Modified KLMS Control ABSTRACT: This paper deals with the modified kernel least mean square (KLMS) control strategy in double- stage, solar photovoltaic (PV) grid tied system to enhance the power quality at common coupling point (CCP). This proposed control algorithm has less oscillations, fast convergence, fast dynamic response and good steady state performance. A control strategy is used to extract the fundamental active current component of load and generates reference grid current for a DC-AC converter. The proposed modified KLMS control mitigates multiple power quality concerns such as harmonics reduction, unity power factor and load balancing. The dynamic performance of proposed system is confirmed into the MATLABSimulink environment. Test results on hardware implementation are presented at varying solar irradiation levels and load unbalancing. Test results are found satisfactory and total harmonic distortion (THD) of the grid currents are observed well within the IEEE-519 standard. KEYWORDS: 1. Solar PV Generation 2. Voltage Source Converter (VSC) 3. Distributed Network 4. Power Quality SOFTWARE: MATLAB/SIMULINK CONCLUSION: The proposed modified KLMS based control scheme for double stage solar PV system, has been simulated in MATLABSimulink environment and simulated results are validated through the
- 2. ELECTRICAL PROJECTS USING MATLAB/SIMULINK Gmail: asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in 0-9347143789/9949240245 For Simulation Results of the project Contact Us Gmail: asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in 0-9347143789/9949240245 experimental prototype. The MPPT has extricated the peak power point successfully (nearly 100%) from the solar PV array under varying insolation levels. The proposed control effectively provides harmonics compensation, grid currents balancing and unity power factor in the grid tied system. This proposed modified KLMS control scheme has extracted the fundamental current component efficiently. Under the load unbalancing condition, the fundamental current component has shown faster convergence and less oscillations than LMS and LMF controls. Moreover, it has good steady state and dynamic performances than LMS and LMF controls. Moreover, the THD of grid currents, is meeting the IEEE-519 standard[12]. REFERENCES: [1] International Energy Agency, “Medium term renewable energy market report 2016,” [Online].Available http://www.iea.org [2] P. Shukl and B. Singh, “Delta-Bar-Delta Neural Network (NN) Based Control Approach for Power Quality Improvement of Solar PV Interfaced Distribution System,” IEEE Trans. on Ind. Info.., early access 2019. [3] S. M. Fatemi, M. S. Shadlu and A. Talebkhah, “Comparison of Three-Point P&O and Hill Climbing Methods for Maximum Power Point Tracking in PV Systems,” 10th Int. Power Elec., Drive Sys.and Tech. Conf.(PEDSTC), Shiraz, Iran, 2019, pp. 764-768. [4] E. H. M. Ndiaye, A. Ndiaye, M. A. Tankari and G. Lefebvre, “Adaptive Neuro-Fuzzy Inference System Application for The Identification of a Photovoltaic System and The Forecasting of Its Maximum Power Point,” 7th Int. Conf. on Renew. Ene. Rese.and App.(ICRERA), Paris, 2018, pp. 1061-1067. [5] N. Arab, B. Kedjar, A. Javadi and K. Al-Haddad, “A Multifunctional Single-Phase Grid- Integrated Residential Solar PV Systems Based on LQR Control,” IEEE Trans. on Ind. Appl., vol. 55, no. 2, pp. 2099-2109, March-April 2019.